Database Administrator Quotes

My gratitude goes as well to the other data scientists I pestered and to the institutions that collect and maintain their data: Karlyn Bowman, Daniel Cox (PRRI), Tamar Epner (Social Progress Index), Christopher Fariss, Chelsea Follett (HumanProgress), Andrew Gelman, Yair Ghitza, April Ingram (Science Heroes), Jill Janocha (Bureau of Labor Statistics), Gayle Kelch (US Fire Administration/FEMA), Alaina Kolosh (National Safety Council), Kalev Leetaru (Global Database of Events, Language, and Tone), Monty Marshall (Polity Project), Bruce Meyer, Branko Milanović (World Bank), Robert Muggah (Homicide Monitor), Pippa Norris (World Values Survey), Thomas Olshanski (US Fire Administration/FEMA), Amy Pearce (Science Heroes), Mark Perry, Therese Pettersson (Uppsala Conflict Data Program), Leandro Prados de la Escosura, Stephen Radelet, Auke Rijpma (OECD Clio Infra), Hannah Ritchie (Our World in Data), Seth Stephens-Davidowitz (Google Trends), James X. Sullivan, Sam Taub (Uppsala Conflict Data Program), Kyla Thomas, Jennifer Truman (Bureau of Justice Statistics), Jean Twenge, Bas van Leeuwen (OECD Clio Infra), Carlos Vilalta, Christian Welzel (World Values Survey), Justin Wolfers, and Billy Woodward (Science Heroes). David Deutsch, Rebecca Newberger Goldstein, Kevin Kelly, John Mueller, Roslyn Pinker, Max Roser, and Bruce Schneier read a draft of the entire manuscript and offered invaluable advice.

Q: How many Java programmers does it take to change a lightbulb? A: One, to generate a “ChangeLightBulb” event to the socket. Q: How many C++ programmers does it take to change a lightbulb? A: You’re still thinking procedurally. A well-designed lightbulb object would inherit a change method from a generic lightbulb class. Q: How many Windows programmers does it take to change a lightbulb? A: Three. One to write WinGetLightBulbHandle, one to write WinQueryStatusLightBulb, and one to write WinGetLight-SwitchHandle. Q: How many database programmers does it take to change a lightbulb? A: Three. One to write the lightbulb removal program, one to write the lightbulb insertion program, and one to act as a lightbulb administrator to make sure nobody else tries to change the light-bulb at the same time. Q: How many software engineers does it take to change a lightbulb? A: None. That’s a hardware problem. Q: How many Microsoft engineers does it take to change a lightbulb? A: None. They will redefine darkness as an industry standard.

Those who are in love with practice without knowledge are like the sailor who gets into a ship without rudder or compass and who never can be certain [where] he is going. Practice must always be founded on sound theory. —The Discourse on Painting by Leonardo da Vinci

Typical of the form is an item from the Wall Street Journal’s Washington Wire blog of June 24, 2013: The Social Security Administration’s inspector general on Monday said the agency improperly paid $31 million in benefits to 1,546 Americans believed to be deceased. And potentially making matters worse for the agency, the inspector general said the Social Security Administration had death certificate information on each person filed in the government database, suggesting it should have known the Americans had died and halted payments. Why do we allow this kind of thing to persist? The answer is simple—eliminating waste has a cost, just as getting to the airport early has a cost. Enforcement and vigilance are worthy goals, but eliminating all the waste, just like eliminating even the slightest chance of missing a plane, carries a cost that outweighs the benefit. As blogger (and former mathlete) Nicholas Beaudrot observed, that $31 million represents .004% of the benefits disbursed annually by the SSA. In other words, the agency is already extremely good at knowing who’s alive and who’s no more. Getting even better at that distinction, in order to eliminate those last few mistakes, might be expensive. If we’re going to count utils, we shouldn’t be asking, “Why are we wasting the taxpayer’s money?,” but “What’s the right amount of the taxpayer’s money to be wasting?” To paraphrase Stigler: if your government isn’t wasteful, you’re spending too much time fighting government waste.

And if you don't know Which to Do Of all the things in front of you, Then what you'll have when you are through Is just a mess without a clue... —Winnie the Pooh in The Tao of Pooh by Benjamin Hoff

데이터 구조와 데이터를 관리하는 전문인력이 필요하게 됩니다. 이런 사람을 데이터 관리자, Database Administrator, 줄여서 DBA라고 합니다.

USE AdventureWorks GO sp_helpstats ‘Person.Contact’; For a complete lesson on Statistics see Chapters 12 of SQL Architecture Basics Joes 2 Pros Volume 3 ISBN: 1451579462. Points to Ponder from SQL Queries Joes 2 Pros Volume 2 ISBN: 1-4392-5318-8 (Joes2Pros.com)

Although tapping into underground fiber-optic lines is much more difficult than tapping into a copper cable, the technique has been perfected by the NSA. For cables buried in foreign countries, the task of gaining access to them was given to a unique covert organization named the Special Collection Service (SCS), which combined the clandestine skills of the CIA with the technical capabilities of the NSA. Its purpose is to put sophisticated eavesdropping equipment—from bugs to parabolic antennas—in difficult-to-reach places. It also attempts to target for recruitment key foreign communications personnel, such as database managers, systems administrators, and IT specialists. The

Summary Gaining insight from massive and growing datasets, such as those generated by large organizations, requires specialized technologies for each step in the data analysis process. Once organizational data is cleaned, merged, and shaped into the form desired, the process of asking questions about data is often an iterative one. MapReduce frameworks, such as the open-source Apache Hadoop project, are flexible platforms for the economical processing of large amounts of data using a collection of commodity machines. Although it is often the best choice for large batch-processing operations, MapReduce is not always the ideal solution for quickly running iterative queries over large datasets. MapReduce can require a great deal of disk I/O, a great deal of administration, and multiple steps to return the result of a single query. Waiting for results to complete makes iterative, ad hoc analysis difficult. Analytical databases

The database won’t replay the changes for a record marked for deletion with a tombstone until its grace period is over.

Complex deployments often require multiple handoffs between teams, particularly in siloed organizations where database administrators, network administrators, systems administrators, infosec, testing/QA, and developers all work in separate teams.

Our users were generally database administrators, and their answers were typically quite specific and technical: “We just want to run a fast query” or “We have to produce a report, so we need to retrieve data from a very large database very quickly.” From those answers, I could assume they viewed our database as one that can quickly execute queries. But when we asked them what they would use if our database didn’t exist, none of them named another database; instead, they suggested business intelligence tools or data warehouses. Understanding the customer’s problem wasn’t enough—to really understand how they perceived our strengths and weaknesses, we needed to understand the alternatives to which they compared us. Customers always group solutions in categories, but talking to them about problems doesn’t necessarily reveal those categories.

What exactly is a DBA, or database administrator?

I believe the technological industry is switching in a different direction that one may think in the Metaverse. Why spend trillions of dollars on big data when it is becoming more useless? We need dynamic content to create a boom in the tech industry for the next millennium. Why hire someone with a 4 year degree from college for a career in database administration when companies can't afford to pay 100k a year? We can manage it quite fine in google sheets or excel. The utilization of AI will then completely defeat the purpose of Data As A Service when a program can dynamically build hash objects in random access memory by simply using a small script like (via switch) while creating a [5th XYZ Stargate] just like the Diablo version, but with a smaller seed. You could then store those objects for the blockchain Inna virtualized file container ;)." - Jonathan Roy Mckinney

I define that the tech industry switches in all directions contrary to what people believe as the norm for the new Metaverse. Why spend trillions of dollars on big data when it is becoming more useless? We need dynamic content to create a boom in the tech industry for the next millennium. Why hire someone with a 4 year college degree for a career in database administration when companies can't afford to pay 100k a year? We can manage information stores perfectly fine with google sheets or microsoft excel. I thought that utilizing AI would completely switch off problematics in relationship to Data As A Service when programs are dynamically building hash tables for objects in random access memory, storing them as blockchains Inna virtualized file container ;)." - Jonathan Roy Mckinney

I believe the technology industry is going in a different direction in which one may think about the Metaverse. Why spend trillions of dollars on big data when big data is becoming more useless? We need dynamic content to create a boom in the tech industry for the next millennium. Why hire someone with a 4 year degree in college for a career in database administration when companies can't afford to pay 100k a year? We can manage that quite fine in Google sheets or excel. The creation of AI would then completely defeat the purpose of data as a service when a program can dynamically build meta searcheable objects in random access memory and store them Inna virtualized file container ;)." - Jonathan Roy Mckinney

happy to share our hard-earned tree-ring data with one another and with the broader science community on the International Tree-Ring Data Bank,* a publicly accessible internet database hosted by the NOAA (National Oceanic and Atmospheric Administration) paleoclimate program

Administrative databases tend to provide very large sample sizes and, in some cases, can be representative of an entire population. However, they lack granular patient-level data from the hospitalization such

Next, we found numerous instances where developers have administrative access to production applications and databases. This violates the required segregation of duty required to prevent risk for fraud.

Database Administration Fundamentals - Microtek Learning. Databases" was one of Stanford's three inaugural enormous open online courses in the fall of 2011; it was offered again in MOOC organize in 2013 and 2014. The course is presently being offered as an arrangement of littler self-guided "small scale courses", which can be collected in an assortment of approaches to find out about various parts of databases. Visit : #www_microteklearning_com

A private chain is just a cloud database achieved by way of the peer-to-peer Ethereum protocol: it’s a silo that you control and that you can grant access to. This should be contrasted with a permissioned blockchain , which like an enterprise software application has defined roles with permissions that can be set by a central administrator.